Datasets:
File size: 1,410 Bytes
666fdac 5617ccf 8d5c15c 32451fc 666fdac 5617ccf 8d5c15c 32451fc f941c63 666fdac f941c63 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
dataset_info:
- config_name: documents
features:
- name: text
dtype: string
- name: doc_id
dtype: string
splits:
- name: test
num_bytes: 9476376
num_examples: 2556
download_size: 4995857
dataset_size: 9476376
- config_name: queries
features:
- name: query
dtype: string
- name: positive
sequence: string
- name: negative
sequence: string
splits:
- name: test
num_bytes: 1435051
num_examples: 2316
- name: train
num_bytes: 5773011
num_examples: 9264
download_size: 2617958
dataset_size: 7208062
configs:
- config_name: documents
data_files:
- split: test
path: documents/test-*
- config_name: queries
data_files:
- split: test
path: queries/test-*
- split: train
path: queries/train-*
license: mit
language:
- fr
pretty_name: Alloprof
---
### Description
This dataset was built upon [Alloprof](https://arxiv.org/abs/2302.07738) Q&A dataset, negative samples were created using BM25. Please refer to our paper for more details.
### Citation
If you use this dataset in your work, please consider citing:
```
@misc{ciancone2024extending,
title={Extending the Massive Text Embedding Benchmark to French},
author={Mathieu Ciancone and Imene Kerboua and Marion Schaeffer and Wissam Siblini},
year={2024},
eprint={2405.20468},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
``` |